Us Bancorp \De\ (USB) Occupancy Expense (2009 - 2026)
Us Bancorp's Occupancy Expense was $309 million in Q3 2026, up 3.0% from $300 million a year earlier and up 2.0% from the prior quarter.
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Analysis
Us Bancorp \De\ (USB) Occupancy Expense (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Us Bancorp's Occupancy Expense was $1.24 billion through Sep 30, 2026, up 1.0% year-over-year; for FY2025, it was $1.23 billion, down 1.5% from FY2024.
- Occupancy Expense shows a five-year compound annual growth rate of 2.4% (FY2020 to FY2025).
- In earlier years, Occupancy Expense was $1.25 billion in FY2024 (-1.6%), $1.27 billion in FY2023 (+15.5%), $1.1 billion in FY2022 (+4.6%) and $1.05 billion in FY2021 (-4.0%).
- Quarterly Occupancy Expense has moved between $265 million (Q2 2022) and $321 million (Q1 2023) over five years.
- Compared with a year earlier, Occupancy Expense was higher in five of the last eight quarters, with an average decline of 0.3%.
- The best year-over-year quarter for Occupancy Expense over five years was Q1 2023 (growth of 19.3%); the worst was Q1 2024 (a decline of 7.8%).
- Per Business Quant data, USB's Occupancy Expense in the three quarters before Q3 2026 was $303 million (Q2 2026), $304 million (Q1 2026) and $320 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 920.14 Bn | 897.90 Bn | - |
| 2 | Banco Santander Chile | 407.42 Bn | -7,109.68 Bn | - |
| 3 | Bank Of America | 353.20 Bn | -2,022.91 Bn | - |
| 4 | Hsbc Holdings | 307.88 Bn | -2,967.28 Bn | - |
| 5 | Morgan Stanley | 298.41 Bn | -244.41 Bn | - |
| 6 | Royal Bank Of Canada | 283.46 Bn | -546.54 Bn | - |
| 7 | Goldman Sachs | 264.45 Bn | -3,478.99 Bn | - |
| 8 | Mitsubishi Ufj Financial | 259.19 Bn | -159.36 Bn | 5.24 Bn |
| 9 | Wells Fargo & Company | 258.28 Bn | 93.72 Bn | - |
| 10 | Us Bancorp \De\ | 95.04 Bn | 95.50 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 309.00 Mn |
| Jun 30, 2026 | 303.00 Mn |
| Mar 31, 2026 | 304.00 Mn |
| Dec 31, 2025 | 320.00 Mn |
| Sep 30, 2025 | 300.00 Mn |
| Jun 30, 2025 | 301.00 Mn |
| Mar 31, 2025 | 306.00 Mn |
| Dec 31, 2024 | 317.00 Mn |
| Sep 30, 2024 | 317.00 Mn |
| Jun 30, 2024 | 316.00 Mn |
| Mar 31, 2024 | 296.00 Mn |
| Dec 31, 2023 | 316.00 Mn |
| Sep 30, 2023 | 313.00 Mn |
| Jun 30, 2023 | 316.00 Mn |
| Mar 31, 2023 | 321.00 Mn |
| Dec 31, 2022 | 290.00 Mn |
| Sep 30, 2022 | 272.00 Mn |
| Jun 30, 2022 | 265.00 Mn |
| Mar 31, 2022 | 269.00 Mn |
| Dec 31, 2021 | 268.00 Mn |
API Access
Us Bancorp \De\ Occupancy Expense API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=occupancy-expense&ticker=USB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "occupancy-expense", "ticker": "USB", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=occupancy-expense&ticker=USB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();